Perry Ellis · Yotpo
1.4% — conversion rate
Independently reportedRetail & e-commerce · Customer support · NLP · Scaled
Customer support
Radiant Credit Union · interface.ai
Vendor-reportedBanking & financeUnited StatesScaledMid-marketLLMLive 2022
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by interface.ai (vendor self-report). Checked against the source page on 2026-09-06. 10 of 10 figures below appear on that page word for word.
The problem
Radiant Credit Union was targeting $1 billion in assets with a contact center running on legacy tools and no after-hours coverage, needing to absorb aggressive growth without expanding headcount.
What was deployed
- Vendor
- interface.ai
- Products
- Voice AI, Chat AI
- Technique
- LLM
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- Chat AI automatically scrapes Radiant’s website and documentation to stay current
- Scale
- 31,700 calls per month, 77,000+ web conversations since December 2022
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
60%Asset growth absorbed without contact center team expansion
“Radiant Credit Union’s assets grew from roughly $500 million when Eric joined to $800 million today – a 60% increase – without adding to the contact center team.”
Quoted word for word from the source · round percentage, no baseline given
31700Calls handled by Voice AI per monthper month
“By March 2026, Ray was handling 31,700 calls per month.”
Quoted word for word from the source
67Call containment rate
“Current containment sits at 67% following a recent feature rollout, with the team actively working to push to 70%+ automation.”
Quoted word for word from the source
192000After-hours calls handledsince Sep 2023
“has handled more than 192,000 after-hours calls since going live in September 2023.”
Quoted word for word from the source
57.9Average call handling time
“Average call handling time sits at 57.9 seconds.”
Quoted word for word from the source
2352Web conversations handled by Chat AIin March 2026 alone
“Chat AI ran in parallel, handling 2,352 web conversations in March 2026 alone”
Quoted word for word from the source
77000Total web conversations handled by Chat AIsince launching in December 2022
“77,000+ total since launching in December 2022.”
Quoted word for word from the source
fourHeadcount saved
“automation has saved us roughly four headcount”
Quoted word for word from the source
25Hiring pressure deflected
“deflecting ~25% of what would otherwise have become hiring pressure.”
Quoted word for word from the source
30-40After-hours call volume increasesince Ray launched
“After-hours call volume is up an estimated 30-40% since Ray launched.”
Quoted word for word from the source · round percentage, no baseline given
ROI as stated: automation has saved us roughly four headcount
“We were at about $500 million in assets when I joined. We’re $800 million now, and automation has saved us roughly four headcount – about 25% of what we would have needed. That’s the difference between growing smart and growing by body count.”
Difficulties and limits
- Current containment sits at 67% following a recent feature rollout, with the team actively working to push to 70%+ automation.
Sources
- interface.ai — vendor self-report, 2026-08-05
Similar deployments
Innovative Dining Group · Revmo AI
1200+ — Reservations booked by AI
Vendor-reportedTravel & hospitality · Customer support · NLP · In production · 2025
Houston Methodist · ActiumHealth
18000000 — staffing capacity created
Vendor-reportedHealthcare · Customer support · LLM · In production
Luxury Bath NJPA · Hatch AI
52% — Overall set rate
Vendor-reportedConstruction & real estate · Customer support · AI agents · Scaled
Talkmobile · LivePerson
92% — Customer Satisfaction Score (CSAT)
Vendor-reportedTelecom · Customer support · NLP · Scaled · 2014
One Skin · KODIF
75% — chat containment rate
Vendor-reportedRetail & e-commerce · Customer support · NLP · Scaled